Let’s discover out with KDE plots
At what age are singer-songwriters most profitable? I puzzled this the opposite day after I heard an outdated Stevie Marvel track. My impression was that, like mathematicians, singer-songwriters peak of their mid-late 20s. However what does the information say?
On this Fast Success Knowledge Science undertaking, we’ll use Python, pandas, and the Seaborn plotting library to analyze this query. We’ll have a look at the careers of 16 distinguished singer-songwriters with over 500 hits amongst them. We’ll additionally incorporate a sexy graphic often known as the kernel density estimate plot into the evaluation.
To find out when songwriters are most profitable, we’ll want some pointers. The plan is to look at:
- Singer-songwriters together with those that work with co-writers.
- Singer-songwriters with decades-long careers.
- A various collection of singer-songwriters and musical genres.
- Singer-songwriters on the Billboard Scorching 100 chart.
The Hot 100 is a weekly chart, printed by Billboard journal, that ranks the best-performing songs in the USA. The rankings are based mostly on bodily and digital gross sales, radio play, and on-line streaming. We’ll use it as a constant and goal technique to decide success.
We’ll use songs written by the next extremely profitable artists:
I’ve recorded the age of every artist on the time of every of their hits and saved it as a CSV file saved on this Gist. If that they had a number of hits in the identical 12 months, their age entry was repeated for every hit. Right here’s a glimpse on the prime of the file:
Cross-referencing this info is tedious (ChatGPT refused to do it!). Consequently, a number of hits written by these artists however carried out by others could have been inadvertently excluded.
A kernel density estimate plot is a technique — just like a histogram — for visualizing the distribution of knowledge factors. Whereas a histogram bins and counts observations, a KDE plot smooths the observations utilizing a Gaussian kernel. This…
